Wearable portable device and method for analyzing eye movement

Abstract

The invention provides a wearable portable device and method for analyzing eye movement. A flexible wearable electrode frame is used for acquiring a two-channel electro-oculogram (EOG) signal; after preprocessing, EOG in the vertical direction adopts a suggested blink processing algorithm based on wavelet transform-double-threshold processing to perform linear interpolation compensation on a blink signal, and conscious single-blink and double-blink components are separated; after median filtering is performed on horizontal and blink-removal EOG, digital filtering is performed through parameters obtained through a method based on self-adaptive filtering in training mode, two-dimensional position information of a target gazing by the human eye is decoded, and information of speed and accelerated speed of the object is obtained through a derivation module; all parameter information can be displayed through a screen or wirelessly transmitted to an external interactive device to perform coding control; and a user obtains a control result through visual feedback and performs next eye movement control so as to achieve man-machine interaction.

Description

technical field [0001] The invention belongs to the interdisciplinary technical fields of biomedicine, psychology and information, and relates to an eye movement analysis device, especially a wearable and portable eye movement analysis device and its analysis method. ) wearable and portable eye movement analysis device and analysis method. Background technique [0002] The eye movement analysis instrument is a relatively complex and large-scale precision instrument for basic psychological research. It is mainly used to record the characteristics of eye movement trajectories when people process visual information, and is widely used in research in the fields of attention, visual perception, and reading. Eye movement research is widely used in human factors, behavioral research, pattern recognition, market research, medical research, highway engineering research, driver training and evaluation, and dashboard design evaluation. In eye movement research, a crucial issue is how ...

AI Technical Summary

Problems solved by technology

[0005] 1. There are few theoretical studies, and there is a lack of effective extensive eye movement recognition mechanisms ranging from EOG to human eye activities including gaze, saccade, and tracking

[0006] 2. There is no effective method for the identification and separation of eye blink signals in the vertical direction of EOG, which affects the analysis of vertical eye movements

Failure to effectively use blink information for control, lack of relevant research on the distinction between conscious and unconscious blinks

[0007] 3. There is a lack of effective methods for directly decoding information such as the position of the human eye gaze target from the EOG signal

[0008] 4. EOG is easy to collect, but electrodes need to be placed for each collection, and for multi-channel collection, the number of electrodes is large, and the operation is more cumbersome; some use wet electrodes, and conductive paste needs to be injected into the electrodes every time it is used, which is extremely difficult to use. convenient

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